Dear group,
I have the following object
> pr_sub$vector[1]
14
0.07782809
> class( pr_sub$vector[1])
[1] "numeric"
> length( pr_sub$vector[1])
[1] 1
how can I separate pr_sub$vector[1]
and get 14 only
thanks in advance
Ragia
[[alter
Hi
It is weird. Maybe others could come with some sensible answer. I would try to
start R with -vanilla switch
Rgui.exe --vanilla
and try if everything is OK. If yes, you could start loading packages and see
how all is working. If not I think that the only option is reinstaling R and
packges
Hi,
I am working on a problem which I think can be handled as a repeated measures
analysis, and I have read many tutorials about how to do this with R. This part
goes well, but I get stuck with the multiple comparisons I'd like to run
afterward. I tried two methods that I have seen in my readin
On Jun 22, 2015, at 10:46 AM, synapse 123 wrote:
> Hi
> I wanted to know if I cn use Random Forest in R for time to event data. I
> cannot use Random Survival Forest since my data is not censored. Any
> suggestions.
>
I'm not sure why that should be a problem for RandomSurvivalForests. It's not
Hi Jean,
Thanks!
Daniel,
Yes, you are absolutely right. I want sampled vectors to be as different
as possible.
I added a little more to the earlier data set.
x1 x2 x3
[1,] 1 3.7 2.1
[2,] 2 3.7 5.3
[3,] 3 3.7 6.2
[4,] 4 3.7 8.9
[5,] 5 3.7 4.1
[6,] 1 2.9 2.1
[7,] 2 2
On Jun 22, 2015, at 1:09 PM, Glenn Schultz wrote:
> I have the following code which creates a spline function
>
> x <- c(1, 12, 24, 36, 60, 120, 200, 240, 300, 360)
> y <- c(.2, 8, 8, 8, 8, 8, 8, 8, 18, 50)
>
>
> Baseline <- cbind(x,y)
> Turnover <- splinefun(Baseline[,1], Baseline[,2], method
I have the following code which creates a spline function
x <- c(1, 12, 24, 36, 60, 120, 200, 240, 300, 360)
y <- c(.2, 8, 8, 8, 8, 8, 8, 8, 18, 50)
Baseline <- cbind(x,y)
Turnover <- splinefun(Baseline[,1], Baseline[,2], method = "natural")
plot(Turnover(seq(1, 360, 1)), type = "l")
If I chan
Hi
I wanted to know if I cn use Random Forest in R for time to event data. I
cannot use Random Survival Forest since my data is not censored. Any
suggestions.
Thanks
Azi
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
Hi Petr,
Thanks for the mail. Please find below the required information
Version: R-3.1.1 console
sessionInfo(): Attached the session info for your reference
Did you install new packages/R version? No
Did you load the package by library(xts)? Yes. I was able to run all the
functions related t
On 6/22/2015 9:42 AM, C W wrote:
Hello R list,
I am have question about sampling unique coordinate values.
Here's how my data looks like
dat <- cbind(x1 = rep(1:5, 3), x2 = rep(c(3.7, 2.9, 5.2), each=5))
dat
x1 x2
[1,] 1 3.7
[2,] 2 3.7
[3,] 3 3.7
[4,] 4 3.7
[5,] 5 3.7
You could apply na.omit() to just the columns you are using:
> dcast(na.omit(df[,1:2]), v1 ~ v2, length, margins = TRUE)
Using v2 as value column: use value.var to override.
v1 X Y Z (all)
1 A 1 2 2 5
2 B 1 2 1 4
3 (all) 2 4 3 9
-
Davi
Mike,
There may be a more efficient way to do this, but this works on your
example.
# mix up the order of the rows
mix <- dat[order(runif(dim(dat)[1])), ]
# get rid of duplicate x1s and x2s
sub <- mix[!duplicated(mix[, "x1"]) & !duplicated(mix[, "x2"]), ]
sub
Jean
On Mon, Jun 22, 2015 at 11:42
R users,
Abstracts are now being accepted for the
2016 ASA Conference on Statistical Practice,
February 18-20,
San Diego, CA, USA.
Past conference attendees have shown particular interest in R,
reproducibility, and data visualization.
The deadline for submission is June 25. Prese
Hello R list,
I am have question about sampling unique coordinate values.
Here's how my data looks like
> dat <- cbind(x1 = rep(1:5, 3), x2 = rep(c(3.7, 2.9, 5.2), each=5))
> dat
x1 x2
[1,] 1 3.7
[2,] 2 3.7
[3,] 3 3.7
[4,] 4 3.7
[5,] 5 3.7
[6,] 1 2.9
[7,] 2 2.9
[8,] 3 2.9
With so little to go on, we are not likely to be much help. A reproducible
example and output of sessionInfo would be the minimum information that the
Posting Guide would tell you to provide.
A wild guess is that you need to have a conversation with your system
administrator. If your R version
I'm using the "dcast" function from Hadley's "reshape2" package to do some
tabulations. I can't get it to exclude NA's in the variables being
tabulated. Here's a simple example.
v1 <- c(rep("A", 5), rep("B", 5), NA)
v2 <- c("X", "Y", "Y", "Z", "Z", "X", "Y", "Y", "Z", NA, "Z")
v3 <- c(rep("a", 4)
Hi
Please some aditional info:
version
sessionInfo()
Did you install new packages/R version?
Did you load the package by library(xts)?
And preferably no HTML post.
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of
> ashokvarma.nadaku
Hi,
I am a developer and I code 'R'. We have some project tasks and
durations(Expected, 50% - Average Case and 90% - Worst Case ) and I am trying
to understand how a simulation of this using monte carlo would help. Most of
the websites deal with either the math or some commercial package.
Hi,
I am trying to run packages timeseries, forecast, xts packages to execute some
task. I was using this R-console for 8months. I had never faced any issue. Now,
It's throwing an error saying 'Error: could not find function "forecast"
Similarly for other packages as well. Could you please sha
Hi,
I am relatively new to Bayesian statistics and am trying to apply a
non-linear hierarchical model using R2winBUGS on some tree stocking density
data. I am hoping someone may be able to help me find the reason why
R2winBUGS is giving me the following error:
*gen.inits cannot be executed (is
On Mon, 22 Jun 2015, My List wrote:
All:
I am trying to implement CHAID decision tree. Can anyone please help me to
know which package can be used for it or lead me to the documentation to
the same.
A CHAID implementation is available on R-Forge at:
https://R-Forge.R-project.org/R/?group_id=3
All:
I am trying to implement CHAID decision tree. Can anyone please help me to
know which package can be used for it or lead me to the documentation to
the same.
I did read a web page says that only the source for the CHAID package is
available. Kindly,advice on the package to be used.
Thanks i
Version 0.8.5 of metricsgraphics is now on CRAN.
It provides an 'htmlwidgets' interface to the 'MetricsGraphics.js'
('D3'-based) charting
library which is geared towards displaying time-series data. There are
routines for scatterplots, histograms and even 'grid.arrange'-like
functionality for layi
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